Abstract
Gibbs random fields are used to form the stochastic models for statistical analysis of dependent spatial data observed on a regular lattice. Thus, the problem of finding the unknown distribution corresponding to a given collection of data is transformed to a vector parameter estimation problem. A method for estimation is proposed and the asymptotic properties of the estimate are investigated.
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© 1988 Academia, Publishing House of the Czechoslovak Academy of Sciences, Prague
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Janžura, M. (1988). Statistical Analysis of Gibbs Random Fields. In: Višek, J.Á. (eds) Transactions of the Tenth Prague Conference. Czechoslovak Academy of Sciences, vol 10A-B. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3859-5_45
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DOI: https://doi.org/10.1007/978-94-009-3859-5_45
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8216-7
Online ISBN: 978-94-009-3859-5
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